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GAN refers to Generative Adversarial Networks. Such networks is made of two networks that compete against each other. The first one generates new samples and the second one discriminates between generated samples and true samples.
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GANs (generative adversarial networks) possible for text as well?
UPD - quotes from the GAN inventor Ian Goodfellow.
GANs have not been applied to NLP because GANs are only defined for
real-valued data. (2016) source
It is not a fundamentally flawed idea. …